低云预报使澳大利亚太阳能工业每年损失1亿多美元,AI驱动的改善有望带来巨大的金融和电网效益。 Poor cloud forecasts cost Australia's solar industry over $100 million yearly, with AI-driven improvements promising major financial and grid benefits.

不准确的天气预报每年使澳大利亚的太阳能工业损失1亿多美元,主要原因是云层覆盖预测不佳,影响到公用规模太阳能农场、屋顶系统和能源贸易商。 Inaccurate weather forecasts cost Australia’s solar industry over $100 million annually, primarily due to poor cloud cover predictions affecting utility-scale solar farms, rooftop systems, and energy traders. AI报告显示,许多运营商缺乏详细的云数据,导致能源预测低于最佳水平。 A Solstice AI report reveals that many operators lack detailed cloud data, leading to suboptimal energy forecasts. 精确度提高10%,仅澳大利亚每年就可增加3 800万美元利润,全球潜力为95亿美元。 A 10% improvement in accuracy could add $38 million in annual profits for Australia alone, with global potential of $9.5 billion. 更好的预测也将在价格暴涨期间提高电池储存回报率。 Better forecasts would also boost battery storage returns during price spikes. Solstiste AI 使用 AI 绘制太阳能装置地图 预测云的行为 帮助电网稳定 Solstice AI uses AI to map solar installations and predict cloud behavior, aiding grid stability. 预计到2030年全球太阳能预测市场将达到800亿美元。 The global solar forecasting market is projected to reach $80 billion by 2030.